Content & authority architecture
How to structure pages and off-site signals so AI trusts and retrieves them: the cluster models, the page anatomy, and the trust signals that correlate with citations.
The Investing & Wealth cohort: 41 backlink audits across investing, wealth and digital assets, read as one dataset. Only 3.7% of every link relationship ever formed still carries authority.
Your domain is under 10% of AI citation sources. Original research seeded off-site is what generative engines actually cite, plus the study spec and a 90-day play.
63% of AI citations go to ranked lists; only 12% of cited URLs sit in Google's top 10. The comparison-page playbook: verdict box, fact density, schema, and a 90-day sequence.
Search moved from strings to things. The build guide for becoming a recognized entity: the Entity Home, Wikidata, sameAs corroboration, and a 12-month sequence.
Reddit drives 20.8% of B2B AI citations. Which threads AI cites (80% have under 20 upvotes), how each engine reads Reddit, and the 9:1 workflow to earn citations without getting banned.
The off-site authority stack AI engines actually pull from, and how to seed G2, Reddit and analyst reviews so they feed AI answers.
+41% citation lift from statistics, 86% of citations from brand-managed sources. The hybrid cluster architecture and Share of Model measurement framework.
+41% citation lift from statistics; 54% fewer hallucinations with knowledge graphs. Schema @graph, /llms.txt, Answer Capsules, and Proof-Pairing Density.
38% top-10 overlap; 55% of citations come from the first 30% of the page. What heading structure, paragraph density, and answer-lead formatting look like on cited pages.
Unlinked mentions correlate at r=0.664 vs r=0.218 for backlinks. The five-gate citation gauntlet, platform profiles, and a five-phase execution blueprint.